2 Datasets & Variables
2.1 The CAMELS-CL dataset
- Minimum Temperature
- Maximum Temperature
- Precipitation
- Ground Water Rights
- Surface Water Rights
- PET
These datasets have temporal data, beginning around 1980 and ending around 2020 (depending on the dataset)
Link to the CAMELS-CL dataset: https://doi.pangaea.de/10.1594/PANGAEA.894885
Note: The CAMELS-CL dataset does include streamflow data, but due to large amounts of missing data, it was not incorporated into the model
2.2 Extracted from Sentinel-2 Satellite Imagery from GEE
- NDVI
- NDWI
Link to the Sentinel-2 dataset: https://dataspace.copernicus.eu/explore-data/data-collections/sentinel-data/sentinel-2
These datasets have temporal data from 2019 to 2024
2.3 OpenTopography’s API service
- Elevation
- Elevation standard deviation
Link to OpenTopography’s website: https://opentopography.org/
2.4 DGA datasets
- Number of reservoirs
Link to download: https://dga.mop.gob.cl/uploads/sites/13/2024/07/Embalses-1.zip
2.5 Development of Groundwater Levels Dataset for Chile since 1970 publication in Nature
- Number of boreholes/wells
Link to the publication: https://www.nature.com/articles/s41597-023-02895-5
2.6 MapBiomas
- Protected/park land data (m^2 and percentage of whole)
Link to MapBiomas: https://chile.mapbiomas.org/en/mapas-de-la-coleccion/
2.7 Variables not included
Several variables that are important for consideration when examining factors that determine overall health of a bofedal but do not have readily avalible datasets include:
- Bofedal management strategies
- Population dynamics in herding communities
- Carrying capacity of ganandos by species
Socioeconomic variables such as these are addressed later in the study through case studies and field work.